From: Wheat ear counting using K-means clustering segmentation and convolutional neural network
Sites | Dataset | Samples size | Slope | Intercept | RMSE (ears) | R2 | RRMSE (%) | Bias (ears) |
---|---|---|---|---|---|---|---|---|
Xuchang | Test | 60 | 0.97 | 8.53 | 0.03 | 0.97 | 0.01 | 1.40 |
May 6 | 10 | 0.88 | 41.25 | 22.54 | 0.82 | 9.43 | 6.90 | |
May 14 | 10 | 0.82 | 47.97 | 16.10 | 0.93 | 8.26 | 11.60 | |
May 16 | 10 | 0.85 | 46.10 | 10.30 | 0.84 | 3.54 | 2.90 | |
May 20 | 10 | 0.91 | 21.79 | 3.24 | 0.99 | 1.39 | 0.10 | |
All dates | 40 | 0.88 | 34.68 | 14.87 | 0.92 | 6.21 | 7.10 | |
UAV | 20 | 0.87 | 18.52 | 9.47 | 0.97 | 5.40 | -5.00 | |
All | 120 | 0.97 | 9.05 | 10.84 | 0.96 | 4.63 | 2.24 |